Fabrice Heitz - RankMe

102 papers A* 6B 13Misc 6Journal 42Unranked 35

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Disentangled representations: towards interpretation of sex determination from hip bone. Vis. Comput. Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette
2023	J	`jnl`	Disentangling high-level factors and their features with conditional vector quantized VAEs. Pattern Recognit. Lett. Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
2022	B	`conf`	Joint Disentanglement of Labels and Their Features with VAE. ICIP Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
2021	J	`jnl`	Disentangled representations: towards interpretation of sex determination from hip bone. CoRR Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette
2021	—	`conf`	Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler
2021	J	`jnl`	Spatially Constrained Online Dictionary Learning for Source Separation. IEEE Trans. Image Process. Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan
2019	Misc	`conf`	Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer
2019	J	`jnl`	Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. Farid Ouhmich, Vincent Agnus, Vincent Noblet, Fabrice Heitz, Patrick Pessaux
2019	—	`conf`	Online dictionary learning for single-subject fMRI data unmixing. EUSIPCO Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan
2019	J	`jnl`	Unsupervised learning-based long-term superpixel tracking. CoRR Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2019	J	`jnl`	Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2018	Misc	`conf`	Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2018	—	`conf`	Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz
2017	—	`conf`	Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux
2017	J	`jnl`	Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
2016	—	`conf`	Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2016	J	`jnl`	Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? NeuroImage Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2015	J	`jnl`	Modèles déformables contraints en reconstruction tomographique par temps de première arrivée. Traitement du Signal Gil Gaullier, Pierre Charbonnier, Fabrice Heitz, Philippe Côté
2015	—	`conf`	Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2015	—	`conf`	Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? MICCAI (1) Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2014	—	`conf`	General linear models for group studies in diffusion tensor imaging. ISBI Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2013	J	`jnl`	Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach
2013	J	`jnl`	On the estimation and correction of bias in local atrophy estimations using example atrophy simulations. Comput. Medical Imaging Graph. Swati Sharma, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2012	J	`jnl`	An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognit. Lett. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2012	J	`jnl`	Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. Medical Image Anal. Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2012	J	`jnl`	Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach
2011	—	`conf`	A new high order tensor decomposition: Application to reorientation. ISBI Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2011	—	`conf`	Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach
2010	—	`conf`	Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
2010	J	`jnl`	Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Anal. Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009	—	`conf`	Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009	B	`conf`	Introducing shape priors in object-based tomographic reconstruction. ICIP Gil Gaullier, Pierre Charbonnier, Fabrice Heitz
2009	J	`jnl`	Multi-Reference Shape Priors for Active Contours. Int. J. Comput. Vis. Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
2009	—	`conf`	Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. MICCAI (1) Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009	—	`conf`	Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2008	J	`jnl`	A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction. EURASIP J. Adv. Signal Process. Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008	J	`jnl`	Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008	—	`conf`	Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2007	J	`jnl`	Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. Medical Image Anal. Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2007	J	`jnl`	Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier
2007	—	`conf`	Unsupervised Nonlinear Manifold Learning. ICIP (2) Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2006	J	`jnl`	Affine-Invariant Geometric Shape Priors for Region-Based Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
2006	—	`conf`	Affine-Invariant Multi-reference Shape Priors for Active Contours. ECCV (2) Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
2006	—	`conf`	Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. ICASSP (5) Sylvain Faisan, Laurent Thoraval, Fabrice Heitz, Jean-Paul Armspach
2006	J	`jnl`	Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2005	J	`jnl`	3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans. Image Process. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2005	J	`jnl`	A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations. Parallel Comput. Michel Salomon, Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach
2005	J	`jnl`	On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. NeuroImage Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach
2005	J	`jnl`	Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. IEEE Trans. Medical Imaging Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Marie-Noëlle Metz-Lutz, Fabrice Heitz
2005	B	`conf`	Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. Image Processing Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz, Jack Foucher
2004	J	`jnl`	A Bayesian approach to object detection using probabilistic appearance-based models. Pattern Anal. Appl. Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz
2004	—	`conf`	A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. ECCV (3) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2003	—	`conf`	A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2003	J	`jnl`	A low complexity approximation of probabilistic appearance models. Pattern Recognit. Raouf Hamdan, Fabrice Heitz, Laurent Thoraval
2003	J	`jnl`	Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. NeuroImage Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach, Izzie Namer, Daniel Gounot, Lucien Rumbach
2003	J	`jnl`	Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. Pattern Recognit. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2003	—	`conf`	Geometric shape priors for region-based active contours. ICIP (3) Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
2003	—	`conf`	ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. MICCAI (2) Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz
2003	—	`conf`	Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier
2003	—	`conf`	Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. MICCAI (2) Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach
2003	—	`conf`	Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
2003	—	`conf`	Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. MICCAI (2) Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2002	—	`conf`	Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. ICIP (1) Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2002	Misc	`conf`	Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images. PDPTA Michel Salomon, Guy-René Perrin, Fabrice Heitz
2001	J	`jnl`	A Physically-based Statistical Deformable Model for Brain Image Analysis. IEEE Trans. Medical Imaging Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
2001	B	`conf`	Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs. Image Processing Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2001	J	`jnl`	Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Trans. Image Process. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2001	—	`conf`	Unsupervised statistical detection of changing objects in camera-in-motion video. ICIP (1) Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz
2000	B	`conf`	3D deformable image matching: a hierarchical approach over nested subspaces. Image Processing Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000	B	`conf`	3D watershed-based segmentation of internal structures within MR brain images. Image Processing Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000	—	`conf`	A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno
2000	B	`conf`	Construction of a 3D Physically-Based Multi-Object Deformable Model. ICIP Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000	J	`jnl`	Discrete Markov image modeling and inference on the quadtree. IEEE Trans. Image Process. Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz
2000	A*	`conf`	Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. CVPR Pierre Charbonnier, Fabrice Heitz
2000	B	`conf`	Spatio-Temporal Segmentation Using 3D Morphological Tools. ICPR Vincent Agnus, Christian Ronse, Fabrice Heitz
2000	B	`conf`	Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
1999	A*	`conf`	3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
1999	A*	`conf`	Gesture Localization and Recognition using Probabilistic Visual Learning. CVPR Raouf Hamdan, Fabrice Heitz, Laurent Thoraval
1999	B	`conf`	Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation. Image Processing Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1999	J	`jnl`	Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognit. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1999	J	`jnl`	Statistical deformable model-based segmentation of image motion. IEEE Trans. Image Process. Charles Kervrann, Fabrice Heitz
1998	J	`jnl`	A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes. Graph. Model. Image Process. Charles Kervrann, Fabrice Heitz
1998	—	`conf`	Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1998	—	`conf`	Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1998	B	`conf`	Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. Image Processing Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer
1996	B	`conf`	A multiresolution EM algorithm for unsupervised image classification. ICPR Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez
1996	J	`jnl`	Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Trans. Inf. Theory Patrick Pérez, Fabrice Heitz
1996	B	`conf`	Statistical model-based estimation and tracking of non-rigid motion. ICPR Charles Kervrann, Fabrice Heitz, Patrick Pérez
1996	—	`conf`	Statistical model-based segmentation of deformable motion. ICIP (1) Charles Kervrann, Fabrice Heitz
1995	J	`jnl`	A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics. IEEE Trans. Image Process. Charles Kervrann, Fabrice Heitz
1995	J	`jnl`	Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distributed Comput. Étienne Mémin, Fabrice Heitz, François Charot
1995	A*	`conf`	Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre
1994	A*	`conf`	A hierarchical statistical framework for the segmentation of deformable objects in image sequences. CVPR Charles Kervrann, Fabrice Heitz
1994	A*	`conf`	Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. CVPR Étienne Mémin, Fabrice Heitz, François Charot
1994	—	`conf`	Global non-linear multigrid optimization for image analysis tasks. ICASSP (5) Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz
1994	—	`conf`	Robust Tracking of Stochastic Deformable Models in Long Image Sequences. ICIP (3) Charles Kervrann, Fabrice Heitz
1993	J	`jnl`	Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. Fabrice Heitz, Patrick Bouthemy
1992	Misc	`conf`	Multiscale Markov random fields and constrained relaxation in low level image analysis. ICASSP Patrick Pérez, Fabrice Heitz
1990	J	`jnl`	Event detection in multisource imaging: application to fine arts painting analysis. IEEE Trans. Acoust. Speech Signal Process. Fabrice Heitz, Henri Maître, Charles de Couessin
1990	Misc	`conf`	Motion estimation and segmentation using a global Bayesian approach. ICASSP Fabrice Heitz, Patrick Bouthemy
1990	—	`conf`	Multimodal motion estimation and segmentation using Markov random fields. ICPR (1) Fabrice Heitz, Patrick Bouthemy
1989	Misc	`conf`	Event detection in multisource imaging using contextual estimation. ICASSP Fabrice Heitz, Henri Maître, Marc Bernard, Charles de Couessin